International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2019)
[Effective from January 1, 2019]
For more details click here

ICV 2018: 95.39
Index Copernicus ICI Journals Master List 2017 - IJCMAS--ICV 2018: 95.39
For more details click here

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PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
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Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2017: 100.00
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Int.J.Curr.Microbiol.App.Sci.2018.7(1): 98-108

Prediction of Hybrid Performance in Crop Plants: Molecular and Recent Approaches
Sandeep Kumar Soni1, Shailesh Tiwari2, John T. Newmah3, Innocent Dossou-Aminon4 and R.M. Sundaram5
1Department of Genetics and Plant Breeding, C. S. Azad University of Agriculture and Technology, Kanpur, U.P., India
2Division of Genomic Resources, National Bureau of Plant Genetic Resources, Pusa Campus, New Delhi, India
3Faculty of Cereal Crop Breeding, Central Agricultural Research Institute, Bong, Liberia
4Faculty of Science and Technology of Dassa Polytechnic University of Abomey, Dassa-Zoumè, Benin
5Indian Institute of Rice Research, Rajendranagar, Hyderabad, Telangana, India
*Corresponding author

Hybrid breeding technology is one of the most feasible options to meet the future food challenges and sustainable agriculture. Large number of cross combinations are attempted and evaluated in hybrid breeding programs, but a few are selected. This is labour intensive, time consuming and costly; despite of it selection efficiency is too low. Therefore, it is important to explore alternate approaches to enhance the selection efficiency to predict hybrid performance. Pedigree data of the parental lines and molecular marker have been effectively employed to predict field performance of hybrids. Marker technologies, wider gene compatibility and QTL approaches on the basis of parental genomic variation are predominantly used for predicting hybrid performance. Informative markers having high PIC would be considered as key markers for heterotic performance prediction. Prediction ability depends on association between QTL and selected molecular markers with major effect on the desired trait, size of population and the recombination frequencies. Transcriptomic and metabolomics data are becoming useful and may provide means for heterosis prediction. Joint analysis of the genomic, transcriptomic and metabolomics data for molecular-based prediction of heterosis needs to be studied for its potential to improve the efficiency of applied hybrid breeding programs. Inter-sub-specific cross combinations depends on genetic remedy to the persisting hybrid semi-sterility problem and entire diversity, and present of neutral wide compatible genes.

Keywords: Heterotic QTLs, Wider compatibility, Neutral alleles, Transcriptomics and high definition genotyping
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How to cite this article:

Sandeep Kumar Soni, Shailesh Tiwari, John T. Newmah, Innocent Dossou-Aminon and Sundaram, R.M. 2018. Prediction of Hybrid Performance in Crop Plants: Molecular and Recent Approaches.Int.J.Curr.Microbiol.App.Sci. 7(1): 98-108. doi: